Instructions to use sawyerhu/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sawyerhu/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sawyerhu/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sawyerhu/test_model") model = AutoModelForTokenClassification.from_pretrained("sawyerhu/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27391060d7b834d5f875101eea6b1576b6b253f458499d3b87d4f9ee1392d013
- Size of remote file:
- 431 MB
- SHA256:
- 51f102e3c361a30a3dd6b874062f09d0682b87ce79ae1b89e39e40fffaa3cf1c
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